Yuhang Ming

Slow is smooth, smooth is fast.

prof_pic.jpg

Hangzhou, China, 310018

I am a Lecturer at the School of Computer Science, Hangzhou Dianzi University. My research interests cover SLAM, RGB-D perception, 3-D vision, scene understanding, etc.

I was previously a Ph.D. student at the Visual Information Laboratory, University of Bristol, supervised by Prof. Andrew Calway and a visiting Ph.D. student at the State Key Lab of CAD&CG, Zhejiang University, supervised by Prof. Guofeng Zhang. I received my M.S. degree from University of California, San Diego, B.S. from University of Missouri - Columbia and B.Eng. from University of Electronic Science and Technology of China.

news

Nov 29, 2024 New survey paper accepted to Engineering Applications of Artificial Intelligence. Free access to our paper is available untill Jan. 15, 2025 via link.
Apr 18, 2024 Paper presented at ICASSP 2024. poster.
Nov 30, 2023 First prize winner of 2023 Zhijiang Cup - Data Data Governance and Innovative Utilization Competition, in collaboration with Hangzhou Emergency Medical Center and Hangzhou Antigravity Intelligent Technology Co Ltd. 2023“之江杯”数据治理与创新利用大赛——数据开放利用赛道一等奖。中文ppt.
Oct 2, 2023 Paper presented at IROS 2023. slides.
Jun 22, 2023 Paper presented at CVPR 2023. poster.
May 29, 2023 Talk given at the Annual Meeting of Zhejiang Medical Doctors Association. 2023年浙江省医师协会院前急救医师分会年会专题讲座《医疗急救无人机的应用探索》。中文PPT.
Jan 23, 2023 Ph.D. thesis is available at Enhancing RGB-D SLAM Using Deep Learning.
Jan 2, 2023 New website online.
Dec 19, 2022 Passed Ph.D. viva with minor corrections :smile:. Many thanks to Prof. Stefan Leutenegger and Prof. David Bull for doing the viva.

services

Journal Reivewer: IEEE TPAMI, IEEE TCSVT, IEEE R-AL.

Conference Reviewer: ACM MM (2024), IEEE/RSJ IROS (2024, 2023), BMVC (2024, 2023, 2022, 2019)

selected publications

  1. Benchmarking neural radiance fields for autonomous robots: An overview
    Yuhang MingXingrui YangWeihan WangZheng Chen, and 3 more authors
    Engineering Applications of Artificial Intelligence, 2025
  2. AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition
    Yuhang MingJian MaXingrui Yang, Weichen Dai, and 2 more authors
    In 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  3. iDF-SLAM: End-to-End RGB-D SLAM with Neural Implicit Mapping and Deep Feature Tracking
    Yuhang MingWeicai Ye, and Andrew Calway
    arXiv preprint arXiv:2209.07919, 2022
  4. CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place Recognition
    Yuhang MingXingrui YangGuofeng Zhang, and Andrew Calway
    In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
  5. FD-SLAM: 3-D Reconstruction Using Features and Dense Matching
    Xingrui YangYuhang MingZhaopeng Cui, and Andrew Calway
    In 2022 International Conference on Robotics and Automation (ICRA), 2022
  6. Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation
    Yuhang MingXingrui Yang, and Andrew Calway
    In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021